In order to be included, an archetype must be represented more than 50 times in the dataset.
The file is split into 3 parts, the first 2 being :
The first, to increase the sample size, considers each round separately (for example, a 2-1 score counts as 3 rounds).
The second considers the matches as a whole (for example, a 2-1 score counts as 1 game won).
They are built on the following model (additionnal information in matrix tooltip):
A complete matrix with all the information.
A matrix presenting only the matchups with a confidence interval of less than 50%.
A matrix presenting only matchups with a sample size greater than 20.
The third part explores the notion of the best deck according to a given metagame using the winrates obtained using the complete games obtained on the data set and the presence of each archetype over time.
In order to determine an expected number of victories 2 criteria are used the average winrate and the lower bounds of the confidence interval.Please note that this part is still under construction as some decks with too few matchups are included.
ggplotly remove legend
Par exemple un socre de 2-1 compte comme 3 manches
Par exemple un socre de 2-1 compte comme 1 partie gagné.
Tentative de multiplier la matrice de win rate (WR ou borne inférieure du CI) par la présence hebdomadaire des decks afin de calculer diviser par le nombre total de decks afin de calculer un expected winrate moyen pour un field donnée.
Ne sont considéré que les decks avec un CI
Deck remove from the metagame :